Object Detection

Deploy with Roboflow

YOLO-NAS

YOLO-NAS is an object detection model developed by Deci that achieves SOTA performances compared to YOLOv5, v7, and v8.

Overview

YOLO-NAS is an object detection model developed by Deci that achieves SOTA performances compared to YOLOv5, v7, and v8. YOLO-NAS is pre-trained on multiple prominent datasets including COCO, Objects365, and Roboflow 100. This overachieving pre-training ensures its precision amongst numerous tasks. Try training YOLO-NAS on your own dataset.

YOLO-NAS performance (Source: Deci YOLO-NAS README).

Use Cases

video surveillance

medical diagnosis

wildlife monitoring

real-time object detection tasks

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Performance

Model	mAP	Latency (ms)
YOLO-NAS S	47.5	3.21
YOLO-NAS M	51.55	5.85
YOLO-NAS L	52.22	7.87
YOLO-NAS S INT-8	47.03	2.36
YOLO-NAS M INT-8	51.0	3.78
YOLO-NAS L INT-8	52.1	4.78

mAP numbers in table reported for Coco 2017 Val dataset and latency benchmarked for 640x640 images on Nvidia T4 GPU.

Use This Model

First, install Inference:‍


pip install inference

To try a demo with a model trained on the Microsoft COCO dataset, use:


import inference
model = inference.load_roboflow_model("yolo-nas-s-640")
results = model.infer(image="YOUR_IMAGE.jpg")

Above, replace:

YOUR_IMAGE.jpg with the path to your image.

You can also run fine-tuned models with Inference.

Retrieve your Roboflow API key and save it in an environment variable called ROBOFLOW_API_KEY:


export ROBOFLOW_API_KEY="your-api-key"

To use your model, run the following code:


import inference
model = inference.load_roboflow_model("model-name/version")
results = model.infer(image="YOUR_IMAGE.jpg")

Above, replace:

YOUR_IMAGE.jpg with the path to your image.
model_id/version with the YOLO-NAS model ID and version you want to use. Learn how to retrieve your model and version ID.

Label Data Automatically with YOLO-NAS

You can automatically label a dataset using YOLO-NAS with help from Autodistill, an open source package for training computer vision models. You can label a folder of images automatically with only a few lines of code. Below, see our tutorials that demonstrate how to use YOLO-NAS to train a computer vision model.

OWL-ViT and YOLO-NAS

Grounding DINO and YOLO-NAS

SAM-CLIP and YOLO-NAS

Grounded SAM and YOLO-NAS

DETIC and YOLO-NAS

Popular YOLO-NAS Use Cases

YOLO-NAS
CSV Sink

Detect road signs and save to CSV

Add to workspace

YOLO-NAS
SMS

Detect fire and smoke then send SMS notification

Add to workspace

YOLO-NAS
OCR Model

Detect text and run OCR

Add to workspace

YOLO-NAS
MQTT Publisher

Detect bottle caps with computer vision

Add to workspace

YOLO-NAS Integrations

YOLO-NAS to Active Learning Data Collector

Build a computer vision workflow that connects YOLO-NAS to Active Learning Data Collector.

YOLO-NAS to Kafka Publish

Build a computer vision workflow that connects YOLO-NAS to Kafka Publish.

YOLO-NAS to CSV Sink

Build a computer vision workflow that connects YOLO-NAS to CSV Sink.

YOLO-NAS to Azure Sink

Build a computer vision workflow that connects YOLO-NAS to Azure Sink.

YOLO-NAS to Webhook Publish

Build a computer vision workflow that connects YOLO-NAS to Webhook Publish.

YOLO-NAS to Super Annotator

Build a computer vision workflow that connects YOLO-NAS to Super Annotator.

YOLO-NAS to SMS

Build a computer vision workflow that connects YOLO-NAS to SMS.

YOLO-NAS to S3 Upload

Build a computer vision workflow that connects YOLO-NAS to S3 Upload.

YOLO-NAS to MQTT Publisher

Build a computer vision workflow that connects YOLO-NAS to MQTT Publisher.

Roboflow Keypoint Detection Model to YOLO-NAS

Build a computer vision workflow that connects Roboflow Keypoint Detection Model to YOLO-NAS.

YOLO-NAS to YOLOv5 Instance Segmentation

Build a computer vision workflow that connects YOLO-NAS to YOLOv5 Instance Segmentation.

YOLO-NAS to YOLO-NAS

Build a computer vision workflow that connects YOLO-NAS to YOLO-NAS.

YOLO-NAS to YOLOv9

Build a computer vision workflow that connects YOLO-NAS to YOLOv9.

YOLOv8 to YOLO-NAS

Build a computer vision workflow that connects YOLOv8 to YOLO-NAS.

YOLOv7 Instance Segmentation to YOLO-NAS

Build a computer vision workflow that connects YOLOv7 Instance Segmentation to YOLO-NAS.

YOLOv9 to YOLO-NAS

Build a computer vision workflow that connects YOLOv9 to YOLO-NAS.

YOLO-NAS to YOLOv8 Classification

Build a computer vision workflow that connects YOLO-NAS to YOLOv8 Classification.

YOLO-NAS to YOLOv8

Build a computer vision workflow that connects YOLO-NAS to YOLOv8.

YOLOv8 Keypoint Detection to YOLO-NAS

Build a computer vision workflow that connects YOLOv8 Keypoint Detection to YOLO-NAS.

YOLOv5 Instance Segmentation to YOLO-NAS

Build a computer vision workflow that connects YOLOv5 Instance Segmentation to YOLO-NAS.

YOLOv8 Classification to YOLO-NAS

Build a computer vision workflow that connects YOLOv8 Classification to YOLO-NAS.

YOLO-NAS to Roboflow Keypoint Detection Model

Build a computer vision workflow that connects YOLO-NAS to Roboflow Keypoint Detection Model.

YOLOv8 Instance Segmentation to YOLO-NAS

Build a computer vision workflow that connects YOLOv8 Instance Segmentation to YOLO-NAS.

Roboflow Object Detection Model to YOLO-NAS

Build a computer vision workflow that connects Roboflow Object Detection Model to YOLO-NAS.

YOLO-NAS to YOLOv8 Keypoint Detection

Build a computer vision workflow that connects YOLO-NAS to YOLOv8 Keypoint Detection.

YOLO-NAS to Roboflow Object Detection Model

Build a computer vision workflow that connects YOLO-NAS to Roboflow Object Detection Model.

Roboflow Instance Segmentation Model to YOLO-NAS

Build a computer vision workflow that connects Roboflow Instance Segmentation Model to YOLO-NAS.

YOLO-NAS to Roboflow Classification Model

Build a computer vision workflow that connects YOLO-NAS to Roboflow Classification Model.

YOLO-NAS to Roboflow Instance Segmentation Model

Build a computer vision workflow that connects YOLO-NAS to Roboflow Instance Segmentation Model.

Explore This Model on Roboflow

Video

Train YOLO-NAS - SOTA Object Detection Model - on Custom Dataset

Learn how to use YOLO-NAS in our comprehensive video guide.

Blog

How to Train YOLO-NAS on a Custom Dataset

YOLO-NAS is the latest state-of-the-art real-time object detection model. Learn how to train YOLO-NAS on your custom data.

YOLO-NAS

Overview

Use Cases

Performance

Use This Model

Label Data Automatically with YOLO-NAS

Deploy to Production

Build a Workflow

Data

Training

Utilities

Compare to Related Models

Convert Annotation Format

Architecture

Frameworks

Annotation Format

Popular YOLO-NAS Use Cases

YOLO-NAS Integrations

YOLO-NAS to Active Learning Data Collector

YOLO-NAS to Kafka Publish

YOLO-NAS to CSV Sink

YOLO-NAS to Azure Sink

YOLO-NAS to Webhook Publish

YOLO-NAS to Super Annotator

YOLO-NAS to SMS

YOLO-NAS to S3 Upload

YOLO-NAS to MQTT Publisher

Roboflow Keypoint Detection Model to YOLO-NAS

YOLO-NAS to YOLOv5 Instance Segmentation

YOLO-NAS to YOLO-NAS

YOLO-NAS to YOLOv9

YOLOv8 to YOLO-NAS

YOLOv7 Instance Segmentation to YOLO-NAS

YOLOv9 to YOLO-NAS

YOLO-NAS to YOLOv8 Classification

YOLO-NAS to YOLOv8

YOLOv8 Keypoint Detection to YOLO-NAS

YOLOv5 Instance Segmentation to YOLO-NAS

YOLOv8 Classification to YOLO-NAS

YOLO-NAS to Roboflow Keypoint Detection Model

YOLOv8 Instance Segmentation to YOLO-NAS

Roboflow Object Detection Model to YOLO-NAS

YOLO-NAS to YOLOv8 Keypoint Detection

YOLO-NAS to Roboflow Object Detection Model

Roboflow Instance Segmentation Model to YOLO-NAS

YOLO-NAS to Roboflow Classification Model

YOLO-NAS to Roboflow Instance Segmentation Model

Explore This Model on Roboflow

Train YOLO-NAS - SOTA Object Detection Model - on Custom Dataset

How to Train YOLO-NAS on a Custom Dataset

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